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pro vyhledávání: '"Frommlet, Florian"'
It is common practice to use Laplace approximations to compute marginal likelihoods in Bayesian versions of generalised linear models (GLM). Marginal likelihoods combined with model priors are then used in different search algorithms to compute the p
Externí odkaz:
http://arxiv.org/abs/2201.13198
Publikováno v:
Published in Proceedings of 22nd European Young Statisticians Meeting (ISBN: 978-960-7943-23-1), 2021. URL: https://www.eysm2021.panteion.gr/files/Proceedings_EYSM_2021.pdf Parpoula & Athanasios Rakitzis
In this paper, we introduce a reversible version of a genetically modified mode jumping Markov chain Monte Carlo algorithm (GMJMCMC) for inference on posterior model probabilities in complex model spaces, where the number of explanatory variables is
Externí odkaz:
http://arxiv.org/abs/2110.05316
Autor:
Beghini, Marianna, Pichler, Maximilian, Tinnefeld, Fiona Carolina, Metz, Matthäus, Möslinger, Dorothea, Konstantopoulou, Vassiliki, Spenger, Johannes, Kautzky-Willer, Alexandra, Frommlet, Florian, Scherer, Thomas, Hufgard-Leitner, Miriam
Publikováno v:
In Molecular Genetics and Metabolism Reports June 2024 39
Autor:
Frick, Anna Elisabeth, Schiefer, Judith, Maleczek, Mathias, Schwarz, Stefan, Benazzo, Alberto, Rath, Anna, Kulu, Askin, Hritcu, Richard, Faybik, Peter, Schaden, Eva, Jaksch, Peter, Tschernko, Edda, Frommlet, Florian, Markstaller, Klaus, Hoetzenecker, Konrad
Publikováno v:
In The Annals of Thoracic Surgery May 2024 117(5):1045-1051
Autor:
Bogdan, Malgorzata, Frommlet, Florian
This is a chapter of the forthcoming Handbook of Multiple Testing. We consider a variety of model selection strategies in a high-dimensional setting, where the number of potential predictors p is large compared to the number of available observations
Externí odkaz:
http://arxiv.org/abs/2011.12154
Publikováno v:
Bayesian Analysis, Volume 15, Number 1 (2020)
In this rejoinder we summarize the comments, questions and remarks on the paper "A novel algorithmic approach to Bayesian Logic Regression" from the discussants. We then respond to those comments, questions and remarks, provide several extensions of
Externí odkaz:
http://arxiv.org/abs/2005.00605
Publikováno v:
Journal of Artificial Intelligence Research (2021), Volume 72, Pages 901-942
Regression models are used in a wide range of applications providing a powerful scientific tool for researchers from different fields. Linear, or simple parametric, models are often not sufficient to describe complex relationships between input varia
Externí odkaz:
http://arxiv.org/abs/2003.02929
Akademický článek
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Regression models are used for inference and prediction in a wide range of applications providing a powerful scientific tool for researchers and analysts from different fields. In many research fields the amount of available data as well as the numbe
Externí odkaz:
http://arxiv.org/abs/1806.02160